100+ datasets found
  1. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Montserrat, Suriname, Togo, Iceland, Georgia, Antigua and Barbuda, Korea (Democratic People's Republic of), Guam, United Kingdom, Dominican Republic
    Description

    Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

    Key Features of Success.ai's Company Financial Data:

    Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

    Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

    Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

    Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

    Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

    Why Choose Success.ai for Company Financial Data?

    Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

    AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

    Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

    Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

    Comprehensive Use Cases for Financial Data:

    1. Strategic Financial Planning:

    Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

    1. Mergers and Acquisitions (M&A):

    Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

    1. Investment Analysis:

    Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

    1. Lead Generation and Sales:

    Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

    1. Market Research:

    Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

    APIs to Power Your Financial Strategies:

    Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

    Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

    Tailored Solutions for Industry Professionals:

    Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

    Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

    Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

    Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

    What Sets Success.ai Apart?

    Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

    Ethical Practices: Our data collection and processing methods are fully comp...

  2. United States US: Start-Up Procedures to Register a Business

    • ceicdata.com
    + more versions
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    CEICdata.com, United States US: Start-Up Procedures to Register a Business [Dataset]. https://www.ceicdata.com/en/united-states/company-statistics/us-startup-procedures-to-register-a-business
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Enterprises Statistics
    Description

    United States US: Start-Up Procedures to Register a Business data was reported at 6.000 Number in 2017. This stayed constant from the previous number of 6.000 Number for 2016. United States US: Start-Up Procedures to Register a Business data is updated yearly, averaging 6.000 Number from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 6.000 Number in 2017 and a record low of 6.000 Number in 2017. United States US: Start-Up Procedures to Register a Business data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  3. d

    Listing of Active Businesses

    • catalog.data.gov
    • data.lacity.org
    • +2more
    Updated Jun 29, 2025
    + more versions
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    data.lacity.org (2025). Listing of Active Businesses [Dataset]. https://catalog.data.gov/dataset/listing-of-active-businesses
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.lacity.org
    Description

    Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

  4. Types of small companies data compromised in the U.S. 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jan 3, 2025
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    Statista (2025). Types of small companies data compromised in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1455225/companies-data-compromised-in-us/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    United States
    Description

    In a 2024 survey of small business leaders and IT professionals in the United States, 58 percent of respondents stated that employee data was their most compromised company data in cyberattacks. Additionally, 53 percent of respondents reported customer or consumer data as the second most impacted company data.

  5. Database & Directory Publishing in the US - Market Research Report...

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Database & Directory Publishing in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/database-directory-publishing-industry/
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    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United States
    Description

    With the phone book era far in the past, database and directory publishers have been forced to transform their business approach, focusing on their digital presence. Despite many publishers rapidly moving away from print services, they are experiencing immovable competition from online search engines and social media platforms within the digital space, negatively affecting revenue growth potential. Industry revenue has been eroding at a CAGR of 4.4% over the past five years and in 2024, a 3.9% drop has led to the industry revenue totaling $4.4 billion. Profit continues to drop in line with revenue, accounting for 4.7% of revenue as publishers invest more in their digital platforms. Interest in printed directories has disappeared as institutional clients and consumers have continued their shift to convenient online resources. Declining demand for print advertising has curbed revenue growth and online revenue has only slightly mitigated this downturn. Though many traditional publishers, such as Yellow Pages, now operate under parent companies with digital resources, directory publishers remain low on the list of options businesses have to choose from in digital advertising. Due to the convenience and connectivity that Facebook and Google services offer, traditional directory publishers have a limited ability to compete. Many providers have rebranded and tailored their services toward client needs, though these efforts have only had a marginal impact on revenue growth. The industry is forecast to decline at an accelerated CAGR of 5.2% over the next five years, reaching an estimated $3.4 billion in 2029, as businesses and consumers continually turn to digital alternatives for information and advertising opportunities. As AI and digital technology innovation expands, social media company products will likely improve at a faster rate than the digital offerings that directory publishers can provide. Though these companies will seek external partnerships to cut costs, they face an uphill battle to boost their visibility and reverse consumer habit trends.

  6. H

    Infogroup US Historical Business Data

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Apr 17, 2020
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    Infogroup (2020). Infogroup US Historical Business Data [Dataset]. http://doi.org/10.7910/DVN/PNOFKI
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 17, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Infogroup
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/10.0/customlicense?persistentId=doi:10.7910/DVN/PNOFKIhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/10.0/customlicense?persistentId=doi:10.7910/DVN/PNOFKI

    Time period covered
    1997 - 2019
    Area covered
    United States
    Description

    InfoGroup’s Historical Business Backfile consists of geo-coded records of millions of US businesses and other organizations that contain basic information on each entity, such as: contact information, industry description, annual revenues, number of employees, year established, and other data. Each annual file consists of a “snapshot” of InfoGroup’s data as of the last day of each year, creating a time series of data 1997-2019. Access is restricted to current Harvard University community members. Use of Infogroup US Historical Business Data is subject to the terms and conditions of a license agreement (effective March 16, 2016) between Harvard and Infogroup Inc. and subject to applicable laws. Most data files are available in either .csv or .sas format. All data files are compressed into an archive in .gz, or GZIP, format. Extraction software such as 7-Zip is required to unzip these archives.

  7. Dynamic Small Business Search (DSBS)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Apr 11, 2023
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    Small Business Administration (2023). Dynamic Small Business Search (DSBS) [Dataset]. https://catalog.data.gov/dataset/dynamic-small-business-search-dsbs-4f0da
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    Dataset updated
    Apr 11, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    Description

    The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

  8. p

    Theater Companies in United States - 2,411 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 14, 2025
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    Poidata.io (2025). Theater Companies in United States - 2,411 Verified Listings Database [Dataset]. https://www.poidata.io/report/theater-company/united-states
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States
    Description

    Comprehensive dataset of 2,411 Theater companies in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  9. d

    US Government Manufacturing Company Data | Verified Address Data | NAICS,...

    • datarade.ai
    .csv
    Updated Oct 26, 2024
    + more versions
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    Cosmic Link Data (2024). US Government Manufacturing Company Data | Verified Address Data | NAICS, Equipment, Certifications [Dataset]. https://datarade.ai/data-products/cosmic-link-data-verified-b2b-data-for-us-government-contra-cosmic-link-data
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Oct 26, 2024
    Dataset authored and provided by
    Cosmic Link Data
    Area covered
    United States
    Description

    Gain a Competitive Edge in the US Government Contracting Landscape with Cosmic Link Data

    Empower your business development and government contracting efforts with Cosmic Link Data, the premier source for comprehensive and verified data on US government contractors.

    What Makes Our Data Unique?

    Verified & Up-to-Date: Our data undergoes rigorous verification processes, ensuring accuracy and reliability.

    Real-Time & Historical: Make informed decisions with the latest data feeds, complemented by 60 days of historical data for trend analysis.

    Granular Insights: Dive deep into B2B company profiles, NAICS codes, equipment utilized, industries served, certifications, SAM registration status, and precise geolocation for targeted outreach.

    How is the Data Sourced?

    We cultivate a multi-source approach, combining verified B2B information, industry directories, government databases, and supplier self-reported data. This comprehensive strategy guarantees the most accurate and current picture of the US government contracting landscape.

    Primary Use Cases and Verticals:

    Business Development: Identify and target qualified government contractors for potential partnerships and collaborations.

    Government Contracting: Streamline your bidding process by pinpointing contractors with the specific capabilities and certifications required for government projects.

    Cosmic Link Data as Part of Your Broader Strategy:

    This data product seamlessly integrates with our broader US manufacturing data offerings. This allows you to gain a holistic view of the entire ecosystem, from raw materials and components to finished goods and distribution channels, with a specific focus on government contracting capabilities.

    By leveraging Cosmic Link Data, you can:

    Shorten sales cycles: Identify the right leads faster and increase your win rates on government contracts.

    Optimize resource allocation: Focus your resources on the most promising opportunities.

    Gain a competitive edge: Make data-driven decisions and confidently navigate the dynamic world of US government contracting.

  10. B2B Email Data | US Financial Services | Verified Profiles & Key Contact...

    • datarade.ai
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    Success.ai, B2B Email Data | US Financial Services | Verified Profiles & Key Contact Details | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-email-data-us-financial-services-verified-profiles-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    United States
    Description

    Success.ai’s B2B Email Data for US Financial Services offers businesses comprehensive access to verified email addresses and contact details of key decision-makers across the financial services industry in the United States.

    Sourced from over 170 million verified professional profiles and enriched with detailed firmographic data, this dataset is ideal for sales teams, marketers, and strategic planners looking to engage with banking executives, wealth managers, insurance specialists, and fintech leaders.

    Backed by our Best Price Guarantee, Success.ai ensures that your outreach is guided by accurate, continuously updated, and AI-validated data.

    Why Choose Success.ai’s Financial Services Email Data?

    1. Verified B2B Email Data for Precision Outreach

      • Access verified work emails of decision-makers in banking, insurance, wealth management, investment firms, and fintech startups.
      • AI-driven validation ensures 99% accuracy, reducing bounce rates and ensuring high deliverability for your campaigns.
    2. Focus on the US Financial Market

      • Includes profiles of professionals across major US financial hubs like New York, Chicago, San Francisco, and Miami, as well as regional banks, credit unions, and fintech disruptors.
      • Gain insights into industry trends, regulatory impacts, and market dynamics specific to the US financial ecosystem.
    3. Continuously Updated Datasets

      • Real-time updates ensure that your data remains relevant, reflecting leadership changes, mergers, acquisitions, and new market entrants.
      • Stay aligned with evolving industry demands and customer needs.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible data usage and legal compliance for your campaigns.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Engage with executives, financial advisors, compliance officers, and analysts across the US financial services sector.
    • 50M Work Emails: AI-validated email data ensures precise communication and minimized email bounce rates.
    • Firmographic Insights: Understand company sizes, revenue ranges, service offerings, and geographic presence to refine your targeting strategies.
    • Decision-Maker Contact Details: Connect directly with key influencers and leaders shaping the US financial landscape.

    Key Features of the Dataset:

    1. Decision-Maker Email Profiles

      • Identify and engage with CEOs, CFOs, financial planners, compliance managers, and marketing directors responsible for driving financial strategies and regulatory compliance.
      • Target professionals overseeing technology adoption, customer engagement, and portfolio growth.
    2. Advanced Filters for Tailored Campaigns

      • Filter contacts by industry segment (banking, insurance, investment management), company size, geographic location, or revenue bracket.
      • Tailor outreach efforts to align with specific financial services challenges, regulatory pressures, or customer preferences.
    3. AI-Driven Enrichment

      • Profiles enriched with actionable data provide deeper insights, enabling personalized messaging and improving engagement outcomes with financial services stakeholders.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Offer SaaS solutions, compliance tools, or digital transformation services to financial services providers aiming to modernize operations and enhance customer experiences.
      • Build relationships with decision-makers in charge of vendor selection, procurement, and operational strategies.
    2. Marketing and Outreach Campaigns

      • Target marketing teams and customer experience professionals to promote data-driven marketing tools, CRM platforms, or loyalty programs tailored to financial clients.
      • Leverage verified email data for multi-channel campaigns, driving higher engagement rates and conversions.
    3. Fintech and Innovation Partnerships

      • Engage with fintech executives and banking leaders exploring digital payments, blockchain, AI-driven financial products, or open banking solutions.
      • Foster partnerships that accelerate innovation and enhance competitive positioning.
    4. Regulatory Compliance and Risk Management

      • Connect with compliance officers and risk managers to present regulatory reporting tools, fraud detection systems, or cybersecurity solutions.
      • Address key pain points related to evolving compliance requirements and risk mitigation.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality B2B email data at competitive rates, ensuring maximum ROI for your outreach, marketing, and sales campaigns in the US financial sector.
    2. Seamless Integration

      • Incorporate verified email data into CRM systems or marketing automation platforms via APIs or downloadable formats, streamlining data management and campaign execution.
    3. Data Accuracy with AI Validation
      ...

  11. United States US: Time Required to Register Property

    • ceicdata.com
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    CEICdata.com, United States US: Time Required to Register Property [Dataset]. https://www.ceicdata.com/en/united-states/company-statistics/us-time-required-to-register-property
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Enterprises Statistics
    Description

    United States US: Time Required to Register Property data was reported at 15.200 Day in 2017. This stayed constant from the previous number of 15.200 Day for 2016. United States US: Time Required to Register Property data is updated yearly, averaging 15.200 Day from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 15.200 Day in 2017 and a record low of 15.200 Day in 2017. United States US: Time Required to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Company Statistics. Time required to register property is the number of calendar days needed for businesses to secure rights to property.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  12. United States US: Cost of Business Start-Up Procedures: % of GNI per Capita

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States US: Cost of Business Start-Up Procedures: % of GNI per Capita [Dataset]. https://www.ceicdata.com/en/united-states/company-statistics/us-cost-of-business-startup-procedures--of-gni-per-capita
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Enterprises Statistics
    Description

    United States US: Cost of Business Start-Up Procedures: % of GNI per Capita data was reported at 1.100 % in 2017. This stayed constant from the previous number of 1.100 % for 2016. United States US: Cost of Business Start-Up Procedures: % of GNI per Capita data is updated yearly, averaging 1.100 % from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 1.200 % in 2014 and a record low of 1.100 % in 2017. United States US: Cost of Business Start-Up Procedures: % of GNI per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  13. T

    United States - Total Business Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 15, 2020
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    TRADING ECONOMICS (2020). United States - Total Business Sales [Dataset]. https://tradingeconomics.com/united-states/total-business-sales-mil-of-dollar-fed-data.html
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    May 15, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Total Business Sales was 1733841.00000 Mil. of $ in February of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 1974148.00000 in December of 2024 and a record low of 478951.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on July of 2025.

  14. Financial Data Service Providers in the US - Market Research Report...

    • ibisworld.com
    Updated Jan 15, 2025
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    IBISWorld (2025). Financial Data Service Providers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/financial-data-service-providers/5491/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Financial data service providers offer financial market data and related services, primarily real-time feeds, portfolio analytics, research, pricing and valuation data, to financial institutions, traders and investors. Companies aggregate data and content from stock exchange feeds, broker and dealer desks and regulatory filings to distribute financial news and business information to the investment community. Recent globalization of the world capital market has benefited the financial sector and increased trading speed. Businesses rely on real-time data more than ever to help them make informed decisions. When considering a data service provider, an easy-to-use interface that shows customized, relevant information is vital for clients. During times of economic uncertainty, this information becomes more crucial than ever. Clients want information as soon and as frequently as possible, causing providers to prioritize efficiency and delivery. This was evident during the pandemic, the high interest rate environment in the latter part of the period and as the Fed cuts rates in 2024. Increased automation has helped industry players process large volumes of financial data, reducing analysis and reporting times. In addition, automation has reduced operational costs and reduced human data errors. These trends have resulted in growing revenue, which has risen at a CAGR of 3.2% to $21.9 billion over the past five years, including a 3.5% uptick in 2024 alone. Corporate profit will continue to expand as inflationary concerns begin to wane slowly. This will lead many companies to take on new clients as financial data helps them gain insight into operating their business amid ongoing trends and economic shakeups. With technology constantly advancing, service providers will continue investing in research and development to improve their products and services and best serve their clients. As technological advances continue, smaller players will be able to better compete with larger industry players. While this may lead to new companies joining the industry, larger providers will resume consolidation activity to expand their customer base. Overall, revenue is expected to swell at a CAGR of 2.7% to $25.0 billion by the end of 2029.

  15. p

    T-Shirt Companies in United States - 3,875 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 4, 2025
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    Poidata.io (2025). T-Shirt Companies in United States - 3,875 Verified Listings Database [Dataset]. https://www.poidata.io/report/t-shirt-company/united-states
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States
    Description

    Comprehensive dataset of 3,875 T-shirt companies in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  16. Financial Statements of U.S. Nonbank Subsidiaries of U.S. Holding Companies

    • catalog.data.gov
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). Financial Statements of U.S. Nonbank Subsidiaries of U.S. Holding Companies [Dataset]. https://catalog.data.gov/dataset/financial-statements-of-u-s-nonbank-subsidiaries-of-u-s-holding-companies
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Area covered
    United States
    Description

    The Financial Statements of U.S. Nonbank Subsidiaries of U.S. Holding Companies (FR Y-11; FR Y-11S) reporting forms collect financial information for individual nonfunctional regulated U.S. nonbank subsidiaries of domestic holding companies, which is essential for monitoring the subsidiaries' potential impact on the condition of the holding company or its subsidiary banks. Holding companies file the FR Y-11 on a quarterly or annual basis or the FR Y-11S on an annual basis, predominantly based on whether the organization meets certain asset size thresholds. The FR Y-11 data are used with other holding company data to assess the condition of holding companies that are heavily engaged in nonbanking activities and to monitor the volume, nature, and condition of their nonbanking operations.

  17. H

    D&B Historical Archive (U.S.)

    • dataverse.harvard.edu
    Updated May 14, 2025
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    Dun and Bradstreet (2025). D&B Historical Archive (U.S.) [Dataset]. http://doi.org/10.7910/DVN/YGHCRG
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 14, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Dun and Bradstreet
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/6.1/customlicense?persistentId=doi:10.7910/DVN/YGHCRGhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/6.1/customlicense?persistentId=doi:10.7910/DVN/YGHCRG

    Time period covered
    1969 - 1980
    Description

    D&B Historical provides access to point-in-time data for U.S. private and public companies. Data goes back to 1969 with the exception of 1981 and 1984 which are unavailable. The businesses included in the annual files were active by the end of that year and had at least basic information available including company name and address (city, state and zip code). Other variables available for most companies include sales volume, employee counts, and sic codes, Consult the data dictionary for further information. Companies that may have requested to be removed from D&B listing are excluded from this dataset. File Format: available in csv and txt format. DATA AVAILABLE FOR YEARS: 1969-2024 (1981, 1984 data unavailable)

  18. T

    United States Corporate Profits

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 26, 2025
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    United States Corporate Profits [Dataset]. https://tradingeconomics.com/united-states/corporate-profits
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1947 - Mar 31, 2025
    Area covered
    United States
    Description

    Corporate Profits in the United States decreased to 3203.60 USD Billion in the first quarter of 2025 from 3312 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  19. Cyber incidents experienced by U.S. companies 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Cyber incidents experienced by U.S. companies 2024 [Dataset]. https://www.statista.com/statistics/1455155/types-of-cyber-attacks-companies-in-the-us/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    United States
    Description

    According to a 2024 survey of small business leaders and IT professionals in the United States, ** percent of small companies experienced both security breaches and data breaches in the examined year. In comparison, ** percent of companies reported not having suffered from any of these cyberattacks.

  20. d

    Manufacturing Company Data – US Industrial Profiles Matchable with Google...

    • data.decanaria.com
    Updated Jun 12, 2025
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    Canaria Inc. (2025). Manufacturing Company Data – US Industrial Profiles Matchable with Google Maps & Indeed Data • Enriched Manufacturing Company Data for Market Analysis [Dataset]. https://data.decanaria.com/products/canaria-manufacturing-company-data-usa-300000-unique-co-canaria-inc
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    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    Canaria Inc.
    Area covered
    United States
    Description

    Manufacturing Company Data enriched with firmographics, Google Maps metadata, and Indeed company signals. This Manufacturing Company Data is matchable across systems and ideal for B2B leads, company analysis, market share tracking, and competitive risk assessment.

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Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
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Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset provided by
Area covered
Montserrat, Suriname, Togo, Iceland, Georgia, Antigua and Barbuda, Korea (Democratic People's Republic of), Guam, United Kingdom, Dominican Republic
Description

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

  1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

  1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

  1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

  1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

  1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

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